[Scia Reto](https://sciareto.org) mind map   
> __version__=`1.1`,generatorId=`com.igormaznitsa:idea-mindmap:intellij-2022.33.0-IntelliJ IDEA`
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# 信息系统

## 信息系统概述
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### 基本概念
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#### 对信息流的处理

### 组成
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#### 计算机硬件

#### 网络和通信设备

#### 计算机软件

#### 信息资源

#### 信息用户

#### 规章制度

### 基本功能
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#### 输入

#### 存储

#### 处理

#### 输出

#### 控制

### 特殊性质
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#### 以计算机为基础

#### 人机交互

### 诺兰模型
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#### 初始阶段
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##### 计算机刚进入企业时只作为办公设备使用，应用非常少。一般仅用于财务部门

#### 传播阶段
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##### 企业对计算机有一定了解，想利用计算机解决工作中的问题，比如进行更多的数据处理，给管理工作和业务带来便利。

##### 会大幅度增加软件投入，盲目投入生产问题，效率低

#### 控制阶段
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##### 从整体上控制计算机信息系统的发展，在客观上要求组织协调、解决数据共享问题。

##### 信息系统呈现单点、分散的特点，系统和资源利用率不高。是计算机管理逐渐变为数据管理的关键

#### 集成阶段
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##### 在控制的基础上，企业开始重新进行规划设计，建立基础数据库，并建成统一的信息管理系统。

##### 人、财、物等资源能够在企业集成共享，更有效的利用现有的IT系统和资源

#### 数据管理阶段
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##### 企业高层意识到信息战略的重要，信息成为企业的重要资源，企业的信息化建设也真正进入到数据处理阶段。

##### 使用统一平台、各部门、各系统基本实现资源整合和信息共享。

#### 成熟阶段
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##### 信息系统已经可以满足企业各个层次的需求，从简单的事务处理到支持高效管理的决策。企业真正把IT与管理过程结合起来，将组织内部、外部的资源充分整合利用。

### 信息系统分类
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#### 分类依据：从低级到高级、从简单到复杂、从局部到全局

#### 业务（数据）处理系统 TPS/DPS
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##### 以业务或数据为主

#### 管理信息系统 MIS
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##### 以信息为主

##### 能够进行管理信息的收集、传输、存储、加工、维护和使用

#### 决策支持系统 DSS
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##### 利用数据和模型解决半结构化决策问题和非结构化决策问题的交互式系统

##### 按功能分为
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###### 专用DSS

###### DSS工具

###### DSS生成器

#### 专家系统 ES
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##### 只能计算机程序系统

##### 包含某个领域具有专业水平的大量知识和经验

#### 办公自动化系统 OAS
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##### 人机结合的综合性的办公事务管理系统

##### 使办公活动实现科学化、自动化

#### 综合性信息系统
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##### 以上五种信息系统是可能同时存在，也有可能同时存在几种，而更高级的是几种信息系统互相融合成一体

##### 目前主要应用系统
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###### ERP系统
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####### 主要管理公司的各种资源

####### 处理进存销、供应链、生产计划MPS、MRP计算、生产订单、管理会计

####### 支撑财务数据

###### WMS系统
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####### 主要包括库房货位管理

####### 收发料、扫码进出库对库存进行库位、先进先出盘点

####### 栈板出货管控、库龄管理

###### MES系统
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####### 主要负责生产过程和过程中防呆、自动化设备集成

###### PDM系统
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####### 管理研发阶段的物料、DOM、工程变更数据，负责产品数据为主

## 信息系统生命周期
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### 第一阶段：产生阶段
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#### 概念的产生过程

#### 需求的分析过程

### 第二阶段：开发阶段
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#### 总体规划阶段
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##### 基础是需求分析

##### 主要作用
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###### 指明信息系统在企业经营战略中的作用和地位

###### 指导信息系统的开发

###### 优化配置和利用各种资源，包括内部资源和外部资源

##### 阶段产出
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###### 信息系统的开发目标

###### 信息系统的总体架构

###### 信息系统的组织结构和管理流程

###### 信息系统的实施计划

###### 信息系统的技术规范

#### 系统分析阶段
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##### 目标是为系统设计阶段提供系统的逻辑模型

##### 阶段产出
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###### 组织结构以及功能分析

###### 业务流程分析

###### 数据和数据流程分析

###### 系统初步方案

#### 系统设计阶段
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##### 目标是根据系统分析的结果，设计出信息系统的实施方案

##### 阶段产出
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###### 系统架构设计

###### 数据库设计

###### 处理流程设计

###### 功能模块设计

###### 安全控制方案设计

###### 系统组织和队伍设计

###### 系统管理流程设计

#### 系统实施阶段
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##### 目标是将设计阶段的结果在计算机和网络上具体实现，也就是将设计文本变成能在计算机上运行的软件系统

##### 实施阶段是对以前的全部工作的检验，因此系统实施阶段用户的参与特别重要

##### 阶段产出
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###### 软件系统

#### 系统验收阶段
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##### 信息系统实施阶段结束后，系统要进入试运行。

### 第三阶段：运维阶段
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#### 阶段内容
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##### 排错性维护
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###### 改BUG

##### 适应性维护

##### 完整性维护

##### 预防性维护

### 第四阶段：消亡阶段
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#### 维护或重构的成本超过了重新开发的成本

## 信息系统建设原则
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### 高层管理人员介入原则

### 用户参与开发原则

### 自顶向下规划原则

### 工程化原则

### 其他原则
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#### 创新性

#### 整体性

#### 发展性

#### 经济性

#### 等

## 信息系统开发方法
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### 结构化方法
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#### 结构是指系统内各个组成要素之间的相互联系、相互作用的框架

#### 机构化开发就是把软件开发过程划分成若干个阶段和步骤，每个阶段有明确的输入和输出，并采用一定的技术活表示方式来描述各个阶段的工作成果

#### 结构化方法是一种传统的信息系统开发方法，由结构化方法（SA）、结构化设计（SD）和结构化程序设计（SP）三部分有机组合而成

#### 是一种自顶向下、逐步求精和模块化设计模式

#### 主要阶段
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##### 需求分析阶段
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###### 与用户沟通，明确软件需求和业务流程，绘制需求模型图

###### 产出
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####### 需求模型图

##### 概要设计阶段
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###### 根据需求，设计软件的总体结构和模块，描绘系统结构图

###### 产出
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####### 系统结构图

##### 详细设计阶段
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###### 对各个模块进行详细的接口设计、数据库设计、业务逻辑设计，并画出详细设计图

###### 产出
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####### 详细设计图

##### 编码实现阶段
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###### 根据详细设计文档，选择编程语言编写程序代码

###### 产出
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####### 程序代码

##### 测试阶段
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###### 对编写的代码进行测试，确保软件符合需求

###### 产出
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####### 测试结果

##### 部署阶段
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###### 将测试通过的代码安装部署到服务器，推向产品环境

###### 产出
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####### 产品环境

#### 主要特点
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##### 开发目标清晰化
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###### 结构化方法的系统遵循“用户第一”的原则

##### 开发工作阶段化
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###### 每个阶段工作完成后，要根据阶段工作目标赫尔要求进行审查

###### 这使各个阶段有条不紊的进行，便于项目管理与控制

##### 开发文档规范化
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###### 结构化方法每个阶段工作完成后，要按照要求完成相应的文档，以保证各个工作阶段的衔接与系统维护工作的便利

##### 设计方法结构化
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###### 在系统分析与设计时，从整体和全局考虑，自顶向下的分解

###### 在系统实现时，根据设计的要求，先编写各个具体的功能模块，然后自底向上逐步实现整个系统

##### 一般利用图形表达用户需求
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###### 数据流图

###### 数组字典

###### 结构化语言

###### 判定表以及判定树

#### 不足
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##### 开发周期长

##### 难以适应需求变化

##### 很少考虑数据结构

### 原型化方法
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#### 也称快速原型法，或简称为原型法

#### 它是一种根据用户初步需求，利用系统开发工具，快速的建立一个系统模型展示给用户，在此基础上与用户交流，最终实现用户需求的信息系统快速开发的方法

#### 分类
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##### 按是否实现功能分类
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###### 水平原型（行为原型、功能的导航）

###### 垂直原型（结构化原型，实现了部分功能）

##### 按最终结果分类
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###### 抛弃式原型

###### 衍化式原型

#### 主要特点
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##### 使系统的开发周期缩短、成本和风险降低、速度加快，获得较高的综合开发需求

##### 以用户为中心开发系统，用户参与度大大提高，开发的系统符合用户的需求，增加了用户的满意度、提高了系统开发的成功率

##### 由于用户参与了系统开发的过程，对系统的功能和结构容易理解和接受，有利于系统的一角，有利于系统的运行与维护

#### 优点
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##### 更有效的确认用户需求

##### 适用于需求不明确的系统开发

##### 适用于分析层面难度大、技术层面难度不大的系统

#### 不足
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##### 不能适用于大型项目开发

##### 开发的环境要求高

##### 管理水平要求高

### 面向对象方法
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#### 面向对象方法，Object\-Oriented，简拼为：OO

#### 基本思想
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##### 客观世界是由各种对象组成的。

##### 任何事物都是对象，每一个对象都有自己的运动规律和内部状态，都属于某个对象类，是该对象类的一个元素。

##### 复杂的对象由相对简单的对象组合而成，不同对象的组合以及相互作用就构成了系统

#### 主要特点
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##### 面向对象方法构造的系统具更好的复用性，其关键在于建立一个全面、合理、统一的模型

##### 面向对象方法也划分阶段，但是其中的系统分析、系统设计和系统实现三个阶段之间已经没有缝隙，这三个阶段的界限变得不明确。<br/>某项工作既可以在前一个阶段完成，也可以在后一个阶段完成；前一个阶段工作做得不够细致，在后一个阶段可以补充。
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##### 面向对象方法可以普遍适用于各类的信息系统开发

##### 是结合结构化开发方法的补充，实现自下而上的开发
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###### 使用结构化方法进行自顶向下的整体划分

###### 自底向上地采用面向对象方法进行开发

#### 不足
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##### 必须依靠一定的面向对象技术支持

##### 在大型项目的开发上具有一定的局限性

##### 不能涉足系统分析以前的开发环节

### 面向服务方法
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#### 面向服务的开发方法，Service Oriented Architecture，简拼为：SOA

#### 进一步将接口的定义与现实进行解耦，催生了服务和面向服务的开发方法
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##### 即以标准接口的形式对外提供服务，而无需关心其内部实现<br/>服务提供方内部发生逻辑改变不影响接口返回值
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## 业务处理系统 TPS
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### 又可称为电子数据处理系统（EDP），是最初形式的信息系统。针对管理中具体的事务<br/>来辅助管理人员将所发生的数据进行记录、传票、记账、统计和分类，并制成报表等<br/>活动，为经营决策提供有效信息的基于计算机的信息系统
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### TPS的主要功能是对企业日常事务所发生的数据进行输入、处理和输出。

### 数据处理周期
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#### 数据输入
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##### 主要解决如何将企业经营活动中产生的大量原始数据准确、迅速地输入到计算机系统中并存储起来，这是信息系统进行进行信息处理的瓶颈。<br/>因此，数据的输入方式和进度是这个阶段的关键问题。
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##### 常见的数据输入方式有三种：人工采集、自动采集、二者结合

#### 数据处理
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##### 批处理，将事务数据累积到一段时间后进行定期处理

##### 联机事务处理（OLTP），即实时处理

#### 数据维护
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##### 一个组织的数据库通过TPS来更新，以确保数据库中的数据能够及时、正确的反应当前最新的经营情况，因此数据库的维护是TPS的一项重要功能

##### 访问形式
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###### 检索

###### 修改

###### 存入

###### 删除

#### 文件报表的产生
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##### TPS的输出就是为终端用户提供所需的有关文件和报表

##### 按用途可分为
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###### 行动文件
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####### 该文件的接受者持有文件后可进行某项事务处理

###### 信息文件
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####### 此类文件向其持有者表明某项业务已经发生了

###### 周转文件
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####### 交给接受者后通常要返回到发送者手中

#### 查询处理
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##### TPS支持终端用户的批次查询或联机实时查询，典型的查询方式是用户通过显示器获得查询结果

### 特点
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#### TPS是其他类型信息系统的信息产生器

#### 许多TPS处于企业系统的边界，它是将企业与外部环境联系起来的桥梁

#### TPS性能的好坏将直接影响组织的整体形象

#### 由于TPS面对的是结构化程度很高的管理问题，因此可以采用结构化生命周期法来进行开发

## 管理信息系统 MIS

### 由业务处理系统发展而成的，实在TPS基础上引进大量管理方法对企业整体信息<br/>进行处理，并利用信息进行预测、控制、计划、辅助企业全面管理的信息系统。
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### 四大部件
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#### 信息源
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##### TPS得到的数据

#### 信息处理器
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##### 对处理信息源获取的信息进行抽取、加工、处理

#### 信息用户
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##### 信息服务于信息用户

#### 信息管理者
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##### 管理前三者

### 控制方式根据部件之间的联系分为
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#### 开环控制
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##### 又称为无反馈结构，按照既定计划进行决策分析

##### 决策过程中不收集外部信，并且不根据信息情况改变决策

#### 闭环控制
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##### 不断收集外部信息、不断送给决策者并根据反馈进行调整

### 根据处理的内容和层次，可以将信息管理系统看成一个金字塔式的结构
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#### 顶层：战略计划

#### 中层：管理控制

#### 底层：运行控制

#### 底层：业务处理 TPS

### 管理信息系统的功能
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#### 职能的完成往往是通过过程来实现，过程是逻辑上相关活动的集合，因而往网吧管理信息系统的功能结构表示成：功能\-过程结构

#### 
> 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`


### 子系统组成

## 决策支持系统 DSS

### DSS应当是一个交互式的、灵活的、适应性强的基于计算机的信息系统，能够为解决非结构化管理问题提供支持，以改善决策的质量

### DSS的目的是：改善决策质量

### DSS的基本模式，反应DSS的形式以及其与“真实系统”、人和外部环境的关系
> collapsed=`true`


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> 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`


#### 对话子系统

#### 数据库子系统

#### 模型库子系统

### DSS是两库结构

#### 数据库子系统

#### 模型库子系统

### DSS的组成
> collapsed=`true`


#### 数据的重组和确认
> collapsed=`true`


##### 获得正确的数据并且可用理想的形式操作这些数据

#### 数据字典的建立

#### 挖掘和智能体
> collapsed=`true`


##### 联合
> collapsed=`true`


###### 挖掘数据中潜在的连接关系

###### 例如：买面包的用户80%也会买牛奶

##### 定序
> collapsed=`true`


###### 对数据集中的变量进行排序，挖掘出其中的顺序关系或先后逻辑

###### 例如：分析疫情期间每日确证病例数量的数据，观察病例数量随时间的变化规律

##### 分类
> collapsed=`true`


###### 根据模式组织数据的过程

##### 聚类
> collapsed=`true`


###### 根据数据的特性将数据进行聚合和分类

###### 例如：根据用户的购买习惯分为，数码产品消费者、化妆品消费者等等

#### 建立模型
> collapsed=`true`


##### 目的
> collapsed=`true`


###### 帮助决策者理解与选择有关的现象

##### 建立方法
> collapsed=`true`


###### 穷举算法

###### 启发式算法

###### 模拟算法

## 专家系统 ES

### 专家系统，Expert System，是人工智能的一个重要分支

### 专家系统的能力来自于他所拥有的专业知识，知识的表示以及推挤的方法则提供了应用的机理

### 专家系统只能解决特定领域的问题

### 专家系统不同于传统的应用程序和其他类型的人工智能问题求解程序

#### 系统属于人工智能范畴，其求解的问题是半结构化或非结构化问题

#### 系统模拟的是人类专家在问题领域的推理，而不是模拟问题领域本身

#### 系统由三个要素组成

##### 数据级

###### 描述问题状态的综合数据库

##### 知识库级

###### 存放启发式经验知识的知识库

##### 控制级

###### 对知识库的知识进行推理的推理机

#### 系统处理的问题是实际的问题，而不是纯学术的问题

#### 系统专用性强，通用性差

### 专家系统的特点

#### 超越时间限制

##### 不需要休息

##### 无特定时间限制

##### 任何时间都可以使用

#### 操作成本低廉

##### 一旦建立成功，使用成本低廉

#### 易于传递与复制

#### 处理手段一致

##### 不会因人而异

#### 善于克服难题

#### 适用于特定领域

### 专家系统的组成

#### 知识库

##### 用于存放系统求解实际问题的领域知识

##### 知识库的知识分为两类

###### 事实性知识

###### 启发性知识

##### 又称为静态知识库

#### 综合数据库

##### 专家系统在执行与推理过程中用以存放所需要和产生的各种信息的工作存储器

##### 又称为动态知识库

#### 推理机

##### 推理机和完整知识库一起构成专家系统的核心

##### 推理机也被称为控制结构或规则解释器，通常包含推理机制和控制策略<br/>是一组用来控制系统的运行、执行各种任务、根据知识库进行各种搜索和推理的程序模块
> align=`left`


#### 知识获取

##### 知识的编辑和求精

##### 知识自学习

#### 解释程序

##### 面向用户服务，负责将推理机结果翻译为用户可理解的语言

#### 人机接口

##### 专家系统与用户的接口

##### 专家系统与领域专家的接口

#### 应用场景

##### 医疗诊断

###### 根据用户的症状和检查结果给出可能的病症诊断和医疗建议

##### 金融规划

###### 根据用户的财务状况、风险承受能力和投资习惯等，推荐合适的投资组合和理财计划

##### 故障转段

###### 根据故障表现推断故障可能出现的位置

##### 烹饪食谱推荐

###### 根据用户口味偏好和健康状况给出烹饪建议

## 办公自动化系统 OA

### 办公信息处理手段的自动化

### OAS主要解决包括数据、文字、声音、图像等信息的一体化处理问题

### 以先进的科学技术为基础，利用有关办公自动化设备协助办公人员管理各项办公信息，主要利用资源以提高办公效率和办公质量。

### OAS四大支柱
> collapsed=`true`


#### 计算机技术

#### 通信技术

#### 系统科学

#### 行为科学

#### 以行为科学为指导，系统科学为理论基础，结合运用计算机和通信技术

### OAS主要功能
> collapsed=`true`


#### 事务处理
> collapsed=`true`


##### 完成办公部分内的大量繁琐事情

##### 分为单机处理系统和多机处理系统

##### 类似于TPS系统

##### 应用场景
> collapsed=`true`


###### 请假流程处理

###### 采购处理

#### 信息管理
> collapsed=`true`


##### 对信息流的控制管理，主要包括信息的收集、加工、传递、交流、存取、提供、分析、判断、应用和反馈那些办公人员的综合性工作

##### 类似于MIS系统

##### 应用场景
> collapsed=`true`


###### 客户关系管理

###### 出勤信息统计

###### 库存管理

#### 辅助决策
> collapsed=`true`


##### 应用场景
> collapsed=`true`


###### 分析哪些服务收入高，从而决定业务发展方向

###### 通过分析成本支出，调整业务重心

### OAS组成
> collapsed=`true`


#### 计算机设备

#### 办公设备

#### 数据通信及网络设备

#### 软件系统

## 企业资源规划 ERP

### 企业资源规划旨在建立在信息技术基础上，以系统化的管理思想，为企业提供决策和运营手段的管理平台

### ERP系统是将企业所有资源进行整合，并进行全面、一体化管理的信息系统

### 演变过程

#### 1\. 物料需求计划

##### 物料单系统

#### 2\. 制造资源计划

##### 增加库存、分销等系统

#### 3\. 企业资源计划

##### 打通了供应链

##### 加入财务、人力资源、销售管理等系统

### 企业的三大资源

#### 物流

##### 物流管理

#### 资金流

##### 财务管理

#### 信息流

##### 生产控制管理

#### 人力资源

##### 人力资源管理

##### 一般认为人力资源管理是企业第四大资源

### 企业的资源计划可以从以下三点来理解

#### 管理思想

##### ERP是一种管理思想，将企业资源分类管理，是管理思想的变革

#### 软件产品

##### ERP是个软件产品，为企业提供一体化解决方案

#### 管理系统

##### ERP是一个管理系统，存在众多的子系统，这些子系统有统一的规划，是互联互通的，便于信息流的监控

### ERP中的11个模块
> collapsed=`true`


#### 生产预测
> collapsed=`true`


##### 主要用于创建生产计划

##### 涉及ERP五个层次计划的前三个层次计划
> collapsed=`true`


###### 经营计划

###### 生产计划大纲

###### 主生产计划

#### 销售管理

#### 经营计划（生产计划大纲）

#### 生产计划
> collapsed=`true`


##### 生产计划大纲的细化

#### 需求计划
> collapsed=`true`


##### 对主生产计划的各个项目所需的全部制造件和全部采购件的网络支持计划和时间进度计划

#### 能求计划

#### 车间计划

### ERP在制造业中的应用
> collapsed=`true`


#### 第一阶段：前期规划与准备
> collapsed=`true`


##### 市场预测和销售计划

##### 订单管理

##### 原材料采购计划

#### 第二阶段：生产过程管理
> collapsed=`true`


##### 生产计划

##### 物料管理
> collapsed=`true`


###### 跟踪库存情况

###### 触发原材料补货或采购流程

##### 人力资源管理
> collapsed=`true`


###### 员工调度

###### 查看员工工作日历

#### 第三阶段：生产监控与改进
> collapsed=`true`


##### 生产进度追踪

#### 第四阶段：财务管理
> collapsed=`true`


##### 财务管理

##### 效率分析和改进

## 电子政务

### 对现有的工业时代形成的政府形态的一种改造

### 三个组成部分

#### 政府内部的电子化和网络化办公

#### 政府部门之间通过计算机网络进行的信息共享和实时通信

#### 政府部门荣光网络与居民和企业之间进行的双向信息交流

### 主要特征

#### 以互联网为基础设施

#### 强调政府服务功能的发挥和完善

### 四个阶段

#### 起步阶段

#### 政府与用户单向互动

#### 政府与用户双向互动

#### 网上事务处理

### 交互模式

#### 政府到政府 G2G

##### 双边合作协议

##### 政府间共享数据

#### 政府到企业 G2B

##### 政府招标和采购

##### 政府发放牌照

#### 企业到政府 B2G

##### 报税

##### 合规申报

#### 政府到民众 G2C

##### 警示信息或政务信息的公开

##### 证件补办

#### 民众到政府 C2G

##### 公众意见和建议

##### 投诉和申诉

## 企业信息化

### 方法

#### 业务流程重构方法

##### 对企业的组织结构和工作方法进行彻底的、根本性的重新设计

#### 核心业务应用方法

##### 围绕核心业务应用计算机技术和网络技术

#### 信息系统建设方法

##### 建设信息系统

#### 主题数据库方法

##### 面向企业业务的数据库进行信息化

#### 资源管理方法

##### 使用企业资源计划（EERP）、供应链管理（SCM）等信息系统

#### 人力资本投资方法

##### 人力资本与人力资源的区别主要是人力资本理论把一部分企业的优秀员工看作是一种资本，能够取得投资收益

##### 人力资本投资方法适用于依靠智力和知识而生存的企业

## 人工智能 AI

### 人工智能旨在利用机械、电子、光电或生物器件等制造的装置或机器模仿人类的智能

### 人工智能的重点放在开发具有智能行为的计算机系统上

### 智能行为表现特点

#### 从过去的事件或情形中汲取经验

#### 具有在缺乏重要信息时解决问题的能力

#### 具有处理和操作各种符号、理解形象化图像的能力

#### 想象力和创造力

#### 善于总结和启发

### 人工智能的主要分支有

#### 专家系统

#### 机器人技术

#### 视觉系统

#### 自然语言处理

#### 学习系统

#### 神经网络
